Recent Advances in Bayesian Modeling of Spatial Transcriptomics Data

Tue, Aug 8, 8:30 AM

Qiwei LiChair

Section on Bayesian Statistical Science

4 Presentations

Bayesian nonparametric clustering for spatial resolved transcriptomics data

8:35 AM - 8:55 AM

Bencong Zhu (The Chinese University of Hong Kong)

Co-authors: Huimin Li (University of Texas at Dallas), Xi Jiang (Southern Methodist University), Guanyu Hu (University of Missouri-Columbia), Xiaodan Fan (The Chinese University of Hong Kong), Qiwei Li (University of Texas At Dallas)

Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model.

8:55 AM - 9:15 AM

Paul Geeleher (St. Jude Children's Research Hospital)

Reconstructing spatial transcriptomics at the single-cell resolution with BayesDeep

9:15 AM - 9:35 AM

Xi Jiang (Southern Methodist University)

Co-authors: Guanghua Xiao (UT Southwestern Medical Center), Lin Xu (The University of Texas Southwestern Medical Center), Qiwei Li (University of Texas At Dallas)

Bayesian Models for Integrative Analysis and Community Connectivity Analysis Using Spatial Transcriptomics Data

9:35 AM - 9:55 AM

Dongjun Chung (The Ohio State University)

Co-authors: Carter Allen (Eli Lilly And Company), Juan Xie (The Ohio State University), Hyeongseon Jeon (The Ohio State University), Kyeong Joo Jung (The Ohio State University), Yuzhou Chang (The Ohio State University), Qin Ma (The Ohio State University), Subhadeep Paul (The Ohio State University)

Discussant

Guanghua Xiao (UT Southwestern Medical Center)